[ Restaurants run on two clocks ]
Restaurants run on two clocks: how fast an order reaches the kitchen, and how much of the ticket survives the aggregator's commission. Delivery platforms commonly take 20–30% of order value, which is why direct ordering is now a structural priority rather than a marketing experiment. Techtaru Digital is a restaurant software development company building POS, online ordering, kitchen display and inventory systems around those two clocks.
Restaurants run on two clocks: how fast an order reaches the kitchen, and how much of the ticket survives the aggregator's commission. Delivery platforms commonly take 20–30% of order value, which is why direct ordering is now a structural priority rather than a marketing experiment. Techtaru Digital is a restaurant software development company building POS, online ordering, kitchen display and inventory systems around those two clocks.
Tell us your outlet count and channel mix and we will scope a pilot that pays for itself firstsystems built around your service model, menu complexity and outlet structure.
end-to-end front-of-house, kitchen and back-office platforms.
ordering, delivery and marketplace products for FoodTech businesses.
aggregators, payment gateways, accounting, delivery fleets and loyalty providers.
customer, rider and manager apps.
pilot, tune, then scale with training material built from your own screens.
Dine-in, takeaway and delivery billing, table and course management, split bills, discounts and comps, shift and cash reconciliation — all offline-capable, because service does not pause for an ISP.
Branded web and app ordering with menu scheduling, modifiers and combos, upsell prompts, promo engine and direct payment — your commission-free channel. Hotel and resort outlets extend into our hospitality systems.
Customer, rider and merchant apps with dispatch logic, live tracking, batching, rider payouts and delivery zone management.
Station routing, prep timers, course firing, bump-bar workflows and ticket-time analytics that show where throughput is lost.
Floor plans, table combinations, waitlists with SMS and WhatsApp confirmations, deposits for large groups and no-show tracking.
Recipe-level costing, theoretical versus actual consumption, wastage logging, purchase orders and supplier reconciliation — the highest-ROI module in most restaurant builds.
Visit history, preferences and allergens, feedback loops, segmentation and win-back campaigns.
Points, tiers, prepaid wallets, referrals and personalised offers that move repeat frequency rather than just discount.
Central menu and price control, outlet performance dashboards, royalty calculation, franchise compliance and audit checklists.
Swiggy, Zomato, Uber Eats and DoorDash menu, pricing and order sync, with real-time item-out updates from the kitchen.
Item profitability, hourly covers, kitchen ticket times, discount leakage and channel-level contribution.
we sit in an outlet during service, because the bottleneck is rarely where head office thinks it is.
combos, variants, time-based availability and channel-specific pricing defined properly up front.
POS or ordering first, then kitchen display, then inventory and analytics.
tuned with floor staff before any chain-wide rollout.
rollout supported by training material built from your own live screens.
POS: Electron or Android with local SQLite and sync queue for offline operation. Backend: Node.js, Laravel, .NET. Mobile: React Native, Flutter, Kotlin, Swift. Data: PostgreSQL, Redis for live order state, Kafka for kitchen and delivery events. Hardware: thermal and KOT printers, cash drawers, barcode scanners, KDS displays, weighing scales. Integrations: Swiggy and Zomato partner APIs, Razorpay, Stripe, UPI, Tally and Zoho Books, WhatsApp Business API. Infrastructure: edge-tolerant architecture with per-outlet failover.
A POS that needs the internet will fail you at the worst time. Terminals must bill, print and store orders locally, then sync when the link returns, with deterministic conflict handling on stock and bill numbers. Any vendor treating offline mode as an add-on has not run a dinner rush.
Recipe-level inventory is what makes food cost visible. Tracking purchases tells you what you bought. Mapping recipes to sales tells you what you should have used, and the gap between theoretical and actual consumption is where wastage, over-portioning and pilferage appear. Food cost typically runs around 28–35% of revenue in full-service restaurants, so a two-point improvement is material profit.
Aggregator integration cuts both ways. You need the demand, but menu drift between POS and each platform creates wrong prices, unavailable items and refunds. Central menu management pushing to every channel, with real-time item-out sync from the kitchen, prevents most of it. Meanwhile your own ordering channel exists so your margin does not depend on someone else's commission structure.
Compliance and data hygiene. FSSAI licence details on bills in India, GST rate handling by service type, PCI-safe payment handling, and explicit consent for marketing messages under DPDP and equivalent rules.
Fixed scope for ordering apps and integrations; dedicated squads for full platforms; multi-outlet support retainers.
Indicative cost: a branded ordering app typically starts around $15,000–$30,000. POS with kitchen display and inventory runs higher; franchise platforms are phased programmes. Timelines: branded online ordering app, 8–12 weeks; POS with KDS, 12–18 weeks; full multi-outlet platform, 5–8 months.
The restaurant software development companies worth shortlisting will want to watch a dinner service before quoting. Tell us your outlet count and channel mix and we will scope a pilot that pays for itself first.
Run both. Aggregators buy reach; your own channel keeps margin and gives you customer data. Chains pushing loyalty and repeat orders to their own app typically improve blended margin without losing aggregator volume.
Let’s talk about your food & restaurant project. No obligation, just a conversation.
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SaaS Platform Engineering & SaaS Development